Senior Data Developer, Visier
$110-140k
+ Bonus
More information about location
3 days a week in office
People analytics & workforce planning software
Be an early applicant
People analytics & workforce planning software
501-1000 employees
Be an early applicant
$110-140k
+ Bonus
More information about location
3 days a week in office
501-1000 employees
Company mission
To help businesses lead with insight at scale while continuously transforming in a rapidly changing workforce landscape.
Role
Who you are
- Education & Experience: 5+ years of professional data engineering experience with a proven track record of independently owning enterprise data architecture decisions end-to-end; a Bachelor's degree in CS, Data Science, or related field is preferred
- Modern Data Stack Mastery: Deep hands-on experience with cloud data warehouses (Snowflake, Databricks), modern ETL/ELT frameworks (dbt, Airflow, Airbyte, Fivetran), and advanced SQL optimization techniques
- Vector Stores & RAG Infrastructure: Production experience with vector databases (e.g., pgvector, Pinecone, Weaviate) and building end-to-end embedding pipelines (chunking strategies, indexing, similarity search)
- Data Modeling & Storage Breadth: Expertise in dimensional modeling (star schema, normalization) alongside hands-on command of relational, NoSQL, and columnar storage, including open table formats like Apache Iceberg
- Software Developing Discipline: Proficient in Python and scripting languages, with strong Git and CI/CD habits (Jenkins, GitHub Actions) applied to DataOps practices
- AI Security & Integration Awareness: Practical understanding of how LLM-based agents consume data, alongside knowledge of securing AI-connected data layers against risks like prompt injection and unauthorized data access
- You roll up your sleeves
- You make it easy
- You are proud
- You never stop learning
- You play to win
What the job involves
- Visier is building the centralized data and control plane—the infrastructure, pipelines, and governance layer—that powers our internal AI transformation across project delivery, customer success, and internal knowledge. As the Data Developer on this initiative, you will own the technical direction of the entire data layer from the ground up. You will design, build, and scale high-throughput ingestion pipelines, continuous warehouse schemas, and the vector-based context engines that allow AI agents to reliably query and act on live organizational data
- In this role, you will leverage your deep data engineering expertise across relational, columnar, and vector data stores to architect secure, production-grade DataOps platforms. You will apply advanced pipeline patterns, open table formats, and AI-native data capabilities to transform fragmented enterprise data into trusted context for enterprise AI systems
- Architectural Ownership: Define and evolve the foundational data architecture across relational, columnar, document, and vector stores, setting technical standards for storage, schema design, and data flows
- Unified Data Ingestion & Warehouse Design: Build scalable pipelines and star schemas to consolidate multi-system enterprise data (Salesforce, Gong, ServiceNow, Gainsight) across project delivery, knowledge assets, and customer intelligence domains
- RAG Context Engine: Own the data layer for the RAG-based knowledge base engine by designing embedding pipelines, chunking strategies, metadata schemas, and index update mechanisms to ensure reliable, context-rich retrieval for AI agents
- Data Transformation & Entity Resolution: Build robust transformation and aggregation jobs that clean, deduplicate, and resolve entities across disparate source systems to ensure downstream consumption is highly accurate
- DataOps & Pipeline Reliability: Embed software engineering discipline into data workflows by implementing automated testing, continuous integration/continuous deployment (CI/CD), schema drift detection, and end-to-end observability
- Data Governance & AI Security: Integrate role-based access controls, retention policies, and data security standards directly into the architecture to safeguard retrieval layers against AI-specific security risks
Our take
Gaining insights into workforces through people data is invaluable to businesses, allowing them to understand how to retain their hardest-working staff members, benchmark worker performance against competitors, and enable the growth of leaders within the organization. While HR departments have access to some productivity tools that utilize people analytics, their fragmented and antiquated nature demands a more unified and future-proof solution.
Visier provides an all-in-one cloud-based people analytics platform for businesses, aiming to drive staff retention programs, maximize recruitment outcomes, arm leaders with workforce insights, and ultimately connect business outcomes to the people involved. The platform achieves this through a variety of integrative tools such as performance benchmarking, smart workforce questionnaires, data management automation, and people-powered insights.
Despite the fact that the company faces competition from other people-data solutions, Visier continues to stand out by this unified approach. The company has existing partnerships with EA, Uber, and NCI too, demonstrating success in improving leadership through people analytics, reducing labour costs, and increasing staff retention. In contrast to much of the broader tech sector, the company has grown consistently and accelerated its geographic expansion, a testament to its product's value to businesses.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-9% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2021
$125m
SERIES E
Apr 2020
$45m
SERIES D
Total funding: $261.5m
Company HQ
Downtown Vancouver, Vancouver, BC
Leadership
Ryan Wong
(Co-Founder, CEO & President)Prior to co-founding Visier in 2010, Ryan was a VP of Engineering at SAP and Business Objects. Before that, they were a Chief Architect/Director of Engineering at Crystal Decisions and a Chief Architect/Development Lead at Seagate Software.
John Schwarz
(Co-Founder & Chairman of the Board)John previously served as the CEO at Business Objects. They also served as the President & CEO of Symantec as well as a General Manager of Industry Solutions at IBM.
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